BTH Researchers participate in EU Project on Mobile Multimedia

 

The research project HAPQNET - Haptic enablers for improved QoE, bandwidth and energy consumption received funding under the European Union Seventh Framework Programme. The participating organizations are the Blekinge Institute of Technology, École Polytechnique Fédérale de Lausanne (EPFL), and University of Vienna.

The attention of mobile multimedia service consumers varies in respect to their current context. On the way, for example when crossing the street, the user is very likely to concentrate on the current traffic instead of watching Mobile TV in contrast to a static waiting time at a bus station where the user can more easily immerge in the world proposed by the selected service. But even at home, the user might be distracted or move from one room to the other putting the mobile device in the background of his current interest for a certain amount of time.

One major aim of this project is to utilize obtained knowledge on the current state of the user to merge real world and the digital world. Information on users context should lead to a reduction of bandwidth and energy consumption as well as to a noticeable improvement in terms of Quality of Experience (QoE) as it has been defined by the ITU-T Study group 12. The reduction of energy consumption represents a very important vision of Euro-NF expressed by "From the Internet of things towards the real world Internet" which will be green.

The aim of the project is to save bandwidth and energy consumption and to improve QoE by taking into account information on users' context. In more detail, our main objectives are:

  • Defining passive and active consumption mode. How should the switch between active and passive mode be implemented?
  • Which amount of bandwidth and energy consumption reduction can be obtained? Implementing the detection of network conditions. Measuring and modeling the bandwidth and energy consumption.
  • How significant are the improvements in terms of Quality of Experience? Analysis of obtained data by computing average loss and performing user tests.

The BTH team consists of Hans-Jürgen Zepernick, Markus Fiedler and Ulrich Engelke.

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